Snowflake Data Architect (Enterprise Data Platform)
A & Associates
Job Description
Job Description
Company Overview:
A & Associates is a reputable staffing agency with a proven track record in screening and recruiting as well as job placement and career development. With more than ten (10) offices throughout the United States, A & Associates is a company that can be trusted to provide a diverse level of services with excellence, diligence and integrity. “Quality In Everything We Do” is far more than our mantra, it is our standard!!
Explore a career with A & Associates, one of the leading providers for temporary, temp-to-hire, permanent placement services and security guard services.
Position Overview
We are seeking an experienced Snowflake Data Architect with 15+ years of overall IT experience to lead the design, architecture, and implementation of a modern, cloud-based data platform.
This individual will be responsible for building a scalable “single source of truth”—ensuring data is accessible, reliable, and structured to support real-time reporting, cross-functional insights, and long-term analytics strategy.
This is not just a hands-on engineering role. This is a strategic architecture position requiring both technical depth and the ability to align data solutions with business needs.
Key Responsibilities
Data Architecture & Platform Design
- Design and implement enterprise-level data architecture within Snowflake
- Build scalable, high-performance environments using virtual warehouses and multi-cluster configurations
- Define standards for data structure, storage, and access across the organization
Data Modeling & Structure
- Develop and maintain data models including:
- Star Schema
- Snowflake Schema
- Data Vault (as applicable)
- Ensure data is structured for performance, usability, and long-term scalability
Pipeline & Integration Design
- Architect and oversee ETL/ELT pipelines using:
- Snowpipe, Streams, and Tasks
- Integration tools such as dbt, Fivetran, Airbyte, or AWS services
- Ensure reliable and efficient data ingestion from multiple sources
Cloud & Data Ecosystem Integration
- Partner with engineering teams to integrate Snowflake with AWS services including:
- Glue, Kinesis, RDS, and SageMaker
- Support a cohesive, cloud-native data environment
Data Governance & Security
- Implement and enforce:
- Role-Based Access Control (RBAC)
- Data masking and row-level security
- Ensure compliance with regulatory and organizational standards (e.g., HIPAA, GDPR where applicable)
Performance Optimization
- Monitor and optimize query performance and system efficiency
- Manage cost controls related to Snowflake usage (compute/storage)
- Leverage advanced Snowflake capabilities such as:
- Time Travel
- Zero-copy cloning
- Data sharing
Data Governance & Standards
- Establish and enforce data governance frameworks including:
- Data lineage
- Data quality standards
- Data stewardship practices
- Partner with business and IT stakeholders to ensure alignment and adoption
Required Qualifications
Experience
- 14+ years of overall IT experience
- 5+ years in Data Architecture roles
- 3+ years hands-on experience designing and implementing Snowflake environments
Technical Expertise
- Deep expertise in Snowflake architecture and optimization
- Strong experience with AWS data services (Glue, Kinesis, RDS, SageMaker)
- Advanced SQL skills and strong understanding of data engineering best practices
- Experience with modern data tools and frameworks such as:
- Databricks
- dbt / Fivetran / Airbyte
- BI tools (Power BI, Tableau)
- Familiarity with programming languages such as Python, Java, or Scala
Architecture & Governance
- Experience designing enterprise data platforms and governance frameworks
- Strong understanding of data security, compliance, and integration patterns
Soft Skills
- Ability to communicate complex technical concepts to non-technical stakeholders
- Proven ability to influence decisions across teams without direct authority
- Strong organizational and problem-solving skills
Certifications (Required/Preferred)
- Snowflake Certification (Core and/or Advanced Architect) – Required
- AWS Data Engineering Certification – Required
- AWS Solutions Architect (Professional) – Preferred
- Databricks Certification – Nice to have
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field (or equivalent experience)
What Success Looks Like
- A well-architected, scalable Snowflake environment supporting enterprise data needs
- Reliable, efficient data pipelines with strong governance and security controls
- Improved accessibility and usability of data across business units
- Clear data standards and frameworks adopted across teams
Why This Role
This is a high-impact opportunity to shape the foundation of a modern data ecosystem within a large, complex environment. Your work will directly enable better decision-making, operational efficiency, and future AI capabilities.
Equal Employment Opportunity Statement:
A & Associates is an equal opportunity employer and is committed to maintaining a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected classification in accordance with applicable federal, state, and local laws. The company is dedicated to providing a workplace free of discrimination, harassment, and retaliation, and ensures that all employment decisions are based on qualifications, merit, and business needs.
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